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< div id = "projectbrief" > Set of algorithms implemented in C.< / div >
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< div class = "headertitle" > < div class = "title" > numerical_methods Directory Reference< / div > < / div >
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Files< / h2 > < / td > < / tr >
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< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > file   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "da/d38/durand__kerner__roots_8c.html" > durand_kerner_roots.c< / a > < / td > < / tr >
< tr class = "memdesc:da/d38/durand__kerner__roots_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Compute all possible approximate roots of any given polynomial using < a href = "https://en.wikipedia.org/wiki/Durand%E2%80%93Kerner_method" target = "_blank" > Durand Kerner algorithm< / a > < br / > < / td > < / tr >
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< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > file   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "dc/d2e/lu__decompose_8c.html" > lu_decompose.c< / a > < / td > < / tr >
< tr class = "memdesc:dc/d2e/lu__decompose_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > < a href = "https://en.wikipedia.org/wiki/LU_decompositon" target = "_blank" > LU decomposition< / a > of a square matrix < br / > < / td > < / tr >
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< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
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< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > file   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "dd/d08/newton__raphson__root_8c.html" > newton_raphson_root.c< / a > < / td > < / tr >
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< tr class = "memdesc:dd/d08/newton__raphson__root_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Find approximate solution for \(f(x) = 0\) using Newton-Raphson interpolation algorithm. < br / > < / td > < / tr >
< tr class = "separator:" > < td class = "memSeparator" colspan = "2" >   < / td > < / tr >
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< tr class = "memdesc:d4/d07/ode__forward__euler_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Solve a multivariable first order < a href = "https://en.wikipedia.org/wiki/Ordinary_differential_equation" target = "_blank" > ordinary differential equation (ODEs)< / a > using < a href = "https://en.wikipedia.org/wiki/Numerical_methods_for_ordinary_differential_equations#Euler_method" target = "_blank" > forward Euler method< / a > < br / > < / td > < / tr >
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< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > file   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "d1/dc2/ode__midpoint__euler_8c.html" > ode_midpoint_euler.c< / a > < / td > < / tr >
< tr class = "memdesc:d1/dc2/ode__midpoint__euler_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Solve a multivariable first order < a href = "https://en.wikipedia.org/wiki/Ordinary_differential_equation" target = "_blank" > ordinary differential equation (ODEs)< / a > using < a href = "https://en.wikipedia.org/wiki/Midpoint_method" target = "_blank" > midpoint Euler method< / a > < br / > < / td > < / tr >
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< tr class = "memdesc:d4/d99/ode__semi__implicit__euler_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Solve a multivariable first order < a href = "https://en.wikipedia.org/wiki/Ordinary_differential_equation" target = "_blank" > ordinary differential equation (ODEs)< / a > using < a href = "https://en.wikipedia.org/wiki/Semi-implicit_Euler_method" target = "_blank" > semi implicit Euler method< / a > < br / > < / td > < / tr >
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< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > file   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "d4/d68/qr__decompose_8h.html" > qr_decompose.h< / a > < a href = "d4/d68/qr__decompose_8h_source.html" > [code]< / a > < / td > < / tr >
< tr class = "memdesc:d4/d68/qr__decompose_8h" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Library functions to compute < a href = "https://en.wikipedia.org/wiki/QR_decomposition" target = "_blank" > QR decomposition< / a > of a given matrix. < br / > < / td > < / tr >
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< tr class = "memitem:" > < td class = "memItemLeft" align = "right" valign = "top" > file   < / td > < td class = "memItemRight" valign = "bottom" > < a class = "el" href = "d5/d23/qr__decomposition_8c.html" > qr_decomposition.c< / a > < / td > < / tr >
< tr class = "memdesc:d5/d23/qr__decomposition_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Program to compute the < a href = "https://en.wikipedia.org/wiki/QR_decomposition" target = "_blank" > QR decomposition< / a > of a given matrix. < br / > < / td > < / tr >
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< tr class = "memdesc:d7/d50/qr__eigen__values_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Compute real eigen values and eigen vectors of a symmetric matrix using < a href = "https://en.wikipedia.org/wiki/QR_decomposition" target = "_blank" > QR decomposition< / a > method. < br / > < / td > < / tr >
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< tr class = "memdesc:dc/d47/realtime__stats_8c" > < td class = "mdescLeft" >   < / td > < td class = "mdescRight" > Compute statistics for data entered in rreal-time. < br / > < / td > < / tr >
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